## Outcomes Network Graph

## Outcomes Flow Chart

## Outcomes

Below is the degree of change seen after Caffeine is higher than average.

## Daily Distribution

## Average by Year

## Average by Month

## Average by Day of Week

### Outcomes Label

Outcomes

of

Below is the change in the listed outcome after
is higher than average.

(Math.abs(a['change']) < Math.abs(b['change'])) ? 1 : -1)" title="Click to put the results with the largest observed change at the top">
Sort by Effect Size

(a['number_of_days'] < b['number_of_days']) ? 1 : -1)" title="Click to put the results with the most supporting data points at the top.">
Sort by Confidence

### Caffeine Info

Property | Value |
---|---|

Variable Name | Caffeine (serving) |

Aggregation Method | SUM |

Analysis Performed At | 2021-06-07 |

Duration of Action | 14 days |

Filling Value | 0 |

Kurtosis | 15.997982480923 |

Maximum Allowed Value | 40 serving |

Mean | 1.137956125 serving |

Median | 0.90625 serving |

Minimum Allowed Value | 0 serving |

Number of Aggregate Predictors | 0 |

Number of Aggregate Outcomes | 82 |

Number of Measurements | 128 |

Number of Measurements (including those generated by tagged, joined, or child variables) | 128 |

Public | true |

Onset Delay | 30 minutes |

Standard Deviation | 1.2581386627576 |

Unit | Serving |

User Variables | 28 |

Variable Category | Foods |

Variable ID | 5950435 |

Variance | 7.1701135266662 |